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• Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
  2020 · 6 citations
• Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
  2021 · 3 citations
• The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
  2025 · 2 citations
• Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
  2020 · 2 citations
• Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
  2020 · 2 citations
• Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning
  2017 · 1 citations
• AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
  2023 · 1 citations
• Adversarial Prompts for Acceptance Collapse in Speculative Decoding
  2026